CN111142968A - Electronic equipment configuration recommendation processing method and device and storage medium - Google Patents

Electronic equipment configuration recommendation processing method and device and storage medium Download PDF

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Publication number
CN111142968A
CN111142968A CN201911368672.7A CN201911368672A CN111142968A CN 111142968 A CN111142968 A CN 111142968A CN 201911368672 A CN201911368672 A CN 201911368672A CN 111142968 A CN111142968 A CN 111142968A
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information
electronic device
application
configuration information
configuration
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Chinese (zh)
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靳春光
孔令威
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Lenovo Beijing Ltd
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Lenovo Beijing Ltd
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Priority to CN201911368672.7A priority Critical patent/CN111142968A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/445—Program loading or initiating
    • G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Stored Programmes (AREA)

Abstract

The application provides a method, a device and a storage medium for recommending the configuration of electronic equipment, wherein after the computer equipment responds to a configuration detection request aiming at the electronic equipment, acquires the current configuration information of the electronic equipment and the use information of each application, the computer equipment obtains the optimal hardware configuration which meets the use requirement of a user of the electronic equipment on each application and is expected to be possessed by the electronic equipment by combining analysis, and then the target configuration information which can improve the performance of the running target application of the electronic equipment is obtained, so that the target configuration information not only considers the hardware configuration of the electronic equipment, but also considers the use condition of the user of the electronic equipment on each application, therefore, the recommended information aiming at the current configuration information of the electronic equipment generated according to the target configuration information can accurately and efficiently guide the user to adjust the current configuration of the electronic equipment, the use requirements of users on specific applications in the electronic equipment are met.

Description

Electronic equipment configuration recommendation processing method and device and storage medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for recommending electronic device configuration, and a storage medium.
Background
With the rapid development of electronic computer technology and communication technology, various applications (Application programs) can be installed in electronic devices such as mobile phones, notebook computers, desktop computers, touch control integrated machines and the like, and great convenience is provided for people in various aspects of life, work and the like.
In practical application, different types of applications installed on electronic equipment are guaranteed to have different working performances, and the configuration requirements of the electronic equipment are often different, especially for some professional applications such as professional picture and video processing applications, the electronic equipment with conventional configuration is difficult to guarantee that the professional applications run in a high-performance state, so that the use requirements of users on specific applications cannot be met.
Disclosure of Invention
In view of this, an embodiment of the present application provides an electronic device configuration recommendation processing method, where the method includes:
responding a configuration detection request aiming at electronic equipment, and obtaining current configuration information of the electronic equipment and use information of each application in the electronic equipment, wherein the current configuration information comprises hardware configuration information which is currently possessed by the electronic equipment and supports the running of each application;
analyzing the current configuration information by using the use information of each application to obtain target configuration information of the electronic equipment, wherein the target configuration information is hardware configuration information capable of improving the performance of the electronic equipment for running a target application, and the target application is determined based on the use information of each application;
and generating recommendation information aiming at the current configuration information of the electronic equipment according to the target configuration information.
In some embodiments, the analyzing the current configuration information by using the usage information of each application to obtain the target configuration information of the electronic device includes:
sequencing the user adhesion degrees of the applications by using the use information of the applications;
analyzing the current configuration information to obtain performance parameters of the electronic equipment, wherein the performance parameters can represent the performance of the electronic equipment in one or more combinations of operation, image processing, caching, data reading and writing and storage;
and acquiring target configuration information of the electronic equipment by using the obtained sequencing result and the performance parameter.
In some embodiments, the generating recommendation information for the current configuration information of the electronic device according to the target configuration information includes:
comparing the target configuration information with the current configuration information;
obtaining a current configuration score of the electronic equipment according to the comparison result;
and if the current configuration score is smaller than a threshold value, obtaining configuration optimization information of the electronic equipment according to a comparison result, wherein the configuration optimization information can be at least used for improving the performance of the electronic equipment in one or more combinations of operation, image processing, caching, data reading and writing and storage.
In some embodiments, the method further comprises:
monitoring application usage change information and/or performance change information of the electronic device;
and if the application use change information meets a first condition or the performance change information meets a second condition, generating a configuration detection request for the electronic equipment.
The application also provides an electronic device configuration recommendation processing method, which comprises the following steps:
sending current configuration information of electronic equipment and use information of each application to a server, wherein the current configuration information comprises hardware configuration information which is currently possessed by the electronic equipment and supports the running of each application;
receiving recommendation information, which is fed back by the server and is specific to the current configuration information, wherein the recommendation information is generated by the server according to target configuration information, the target configuration information is obtained by using the use information of each application and the current configuration information, the target configuration information is hardware configuration information capable of improving the performance of the electronic equipment for running a target application, and the target application is determined based on the use information of each application;
and outputting the recommendation information.
In some embodiments, the method further comprises:
acquiring update configuration information of the electronic equipment, wherein the update configuration information comprises hardware attribute information of newly-added hardware of the electronic equipment;
detecting whether the hardware attribute information of the newly added hardware is matched with the hardware attribute information of the original hardware of the same type of the electronic equipment;
and outputting prompt information corresponding to the detection result.
In some embodiments, the recommendation information includes configuration optimization information for the electronic device;
the hardware attribute information of the newly added hardware of the electronic equipment is determined specifically according to the configuration optimization information, and the configuration optimization information can be at least used for improving the performance of the electronic equipment in one or more combinations of operation, image processing, caching, data reading and writing and storage.
The embodiment of the present application further provides an electronic device configuration recommendation processing apparatus, where the apparatus includes:
a configuration detection request response module, configured to respond to a configuration detection request for an electronic device, to obtain current configuration information of the electronic device and usage information of each application in the electronic device, where the current configuration information includes hardware configuration information currently possessed by the electronic device and supporting the operation of each application;
a target configuration information obtaining module, configured to analyze the current configuration information by using the usage information of each application to obtain target configuration information of the electronic device, where the target configuration information is hardware configuration information capable of improving performance of the electronic device for running a target application, and the target application is determined based on the usage information of each application;
and the recommendation information generation module is used for generating recommendation information aiming at the current configuration information of the electronic equipment according to the target configuration information.
The embodiment of the present application further provides an electronic device configuration recommendation processing apparatus, where the apparatus includes:
the information sending module is used for sending current configuration information of the electronic equipment and use information of each application to a server, wherein the current configuration information comprises hardware configuration information which is currently possessed by the electronic equipment and supports the running of each application;
a recommendation information receiving module, configured to receive recommendation information for the current configuration information, which is fed back by the server, where the recommendation information is generated by the server according to target configuration information, the target configuration information is obtained by using the usage information of each application and the current configuration information, and the target configuration information is hardware configuration information capable of improving performance of the electronic device for running a target application, and the target application is determined based on the usage information of each application;
and the recommendation information output module is used for outputting the recommendation information.
The embodiment of the application also provides a storage medium, wherein a program is stored on the storage medium, and the program is executed by a processor to realize the electronic device configuration recommendation processing method.
Thus, the present application provides a method, an apparatus, and a storage medium for recommending electronic device configuration, in which a server, in response to a configuration detection request for an electronic device, obtains current configuration information of the electronic device and usage information of each application in the electronic device, and then analyzes the current hardware configuration information of the electronic device using the usage information to obtain an optimal hardware configuration that the electronic device is expected to have, which meets the usage requirements of a user of the electronic device for each application, and that the target configuration information is capable of improving the performance of the electronic device for running a target application, and thus, the target configuration information not only considers the hardware configuration of the electronic device itself, but also considers the usage situation of each application by the user of the electronic device, and therefore, recommendation information for the current configuration information of the electronic device is generated according to the target configuration information, the method can accurately and efficiently guide the user to adjust the current configuration of the electronic equipment, and meet the use requirements of the user on specific applications in the electronic equipment.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of a system architecture for implementing an electronic device configuration recommendation processing method proposed in the present application;
FIG. 2 is a flow diagram illustrating an alternative example of an electronic device configuration recommendation processing method described herein from the perspective of a computer device;
FIG. 3 is a flow chart illustrating an alternative generation manner of a configuration detection request in the method for recommending the configuration of the electronic device from the perspective of the computer device according to the present application;
FIG. 4 is a flow diagram illustrating yet another alternative example of an electronic device configuration recommendation processing method described herein from the perspective of a computer device;
FIG. 5 is a flow chart illustrating an alternative example of an electronic device configuration recommendation processing method described in the present application from the perspective of an electronic device;
fig. 6 is a flowchart illustrating still another alternative example of the electronic device configuration recommendation processing method described in the present application from the perspective of an electronic device;
fig. 7 is a signaling flowchart illustrating an alternative example of the method for recommending electronic device configuration proposed in the present application;
fig. 8 is a schematic structural diagram showing an alternative example of the electronic device configuration recommendation processing apparatus described in the present application from the perspective of a computer device;
fig. 9 is a schematic structural diagram showing still another alternative example of the electronic device configuration recommendation processing apparatus described in the present application from the perspective of a computer device;
fig. 10 is a schematic structural diagram showing still another alternative example of the electronic device configuration recommendation processing apparatus described in the present application from the perspective of a computer device;
fig. 11 is a schematic structural diagram illustrating an alternative example of an electronic device configuration recommendation processing apparatus described in the present application from the perspective of an electronic device;
fig. 12 is a schematic structural diagram showing still another alternative example of the electronic device configuration recommendation processing apparatus described in the present application from the perspective of an electronic device;
fig. 13 is a schematic diagram illustrating a hardware structure of a computer device according to an embodiment of the present application;
fig. 14 shows a hardware structure diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements. An element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
In the description of the embodiments herein, "/" means "or" unless otherwise specified, for example, a/B may mean a or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality" means two or more than two. The terms "first", "second" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.
Additionally, flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
For the technical problems provided by the background art, the application expects that the electronic device can determine the adaptive hardware configuration information according to the use condition of the user for different types of applications, so that the performance of the electronic device with the hardware configuration information when the electronic device runs the target application as frequently used by the user is improved relative to the performance of the electronic device with uniform hardware configuration information when the electronic device runs the target application, and the use requirement of the user for the target application is met.
Based on the above analysis, referring to fig. 1, a system structure diagram for implementing the method for recommending configuration of electronic devices according to the embodiment of the present application is shown, where the system may include a plurality of electronic devices 100 and at least one computer device 200, where:
the electronic device 100 may include, but is not limited to: the smart phone may be any one of a smart phone, a tablet pc, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, a Personal Digital Assistant (PDA), an e-book reader, a desktop computer, and the like.
The computer device 200 may include a server or other terminal devices with high data processing capability, and the specific product type of the computer device 200 is not limited in this application.
In practical application of the present application, as shown in fig. 1, a computer device may obtain, according to the method described above, usage information and current configuration information of applications currently possessed by an electronic device, determine a usage situation of the applications on the electronic device by a user, and thereby generate recommendation information for improving a current hardware configuration of the electronic device, so as to improve performance parameters of a target application (e.g., an application with a high application adhesion degree, specifically, an application that is frequently used and/or used for a long time) run by the electronic device.
The following will describe a specific implementation procedure of the method for processing configuration recommendation of an electronic device in accordance with the present application from the perspective of a computer device, and it should be understood that, regarding the implementation manner of the method for processing configuration recommendation of an electronic device in accordance with the present application, including but not limited to the contents described in the following embodiments, the configuration recommendation of an electronic device may be implemented by flexibly adjusting or combining the embodiments according to actual needs.
Referring to fig. 2, a flow chart of an alternative example of the method for recommending the configuration of the electronic device, which may be applied to the computer device, is shown, and the above analysis is not limited by the present application to the product type of the computer device. As shown in fig. 2, the method for recommending configuration of an electronic device according to this embodiment may include:
step S11, responding to the configuration detection request aiming at the electronic equipment, and obtaining the current configuration information of the electronic equipment and the use information of each application in the electronic equipment;
in this embodiment, the generating condition and manner of the configuration detection request for the electronic device are not limited, and the configuration detection request may be sent by the electronic device, or may be generated by the computer device based on the detected related information of the electronic device.
In some embodiments, the user may experience a decrease in the performance of the electronic device, such as a slower operating speed, a slower command response speed, etc.; users install new applications and use the applications frequently in the near future; under at least one scene that a user uninstalls a certain frequently used application, the user can perform configuration detection operation on the electronic device, so that the electronic device responds to the configuration detection operation to generate a configuration detection request. Of course, for these scenarios, the configuration detection request may also be generated by the electronic device based on the detected parameters determined by the electronic device itself. Alternatively, the electronic device or the computer device may directly generate or respond to the configuration detection request for the electronic device without depending on any information.
Specifically, in practical applications, for the same electronic device, under the condition that the electronic device has different application use conditions (for example, use parameters such as different use durations and use frequencies), the performance parameters of the electronic device may be different, and the performance parameters can represent the performance level of the electronic device in one or more combinations of operation, image processing, caching, data reading and writing and storage, and the content of the performance parameters is not limited in the present application. That is, when the usage information of the application in the electronic device changes, the performance parameters of the electronic device may be affected.
Therefore, in order to ensure that the electronic device runs under high performance and improve the use experience of a user on a running application, in a possible implementation manner, the configuration detection request for the electronic device may be generated based on application use change information of the electronic device to determine whether the electronic device needs to update the configuration.
In another possible implementation manner, the present application may also directly detect a performance change of the electronic device, and determine whether to detect and update the current configuration of the electronic device based on the performance change information of the electronic device, that is, determine whether to generate a configuration detection request for the electronic device based on the performance change information of the electronic device. It should be noted that, the specific generation process of the configuration detection request is not limited to the above-described implementation, and the present application is only described by taking the above-described implementation as an example.
Based on the above analysis, referring to fig. 3, for a flowchart of an optional example of generating a configuration detection request in the method for processing recommendation of configuration of an electronic device provided by the present application, a process of generating the configuration detection request may include:
step A1, monitoring application use change information of the electronic equipment;
in the application, the application use change information may include that parameters such as the use duration and the use frequency of any application change, and may also include record information of the electronic device installation/uninstallation application, and the like. The obtaining method of the application use change information may be obtained by the electronic device or the computer device based on the detected use information of each application at different times, or obtained by the computer device directly from the electronic device.
Step A2, verifying whether the application use change information meets the first condition; if not, go to step A3, if yes, execute step A5;
wherein the first condition may indicate that the usage of the application on the electronic device has changed significantly, such as a change that may result in a performance degradation of an aspect of the electronic device. For example, the following steps are carried out: in the last period of time, the usage duration of the application a is increased even beyond a specific duration (the specific duration is not limited), or the usage frequency of the application a is increased even beyond a specific frequency (the specific frequency value is not limited), or the usage duration or the usage frequency of the application a is reduced to a corresponding specific value, and so on.
It can be seen that the first condition may include that the usage duration of at least one application in the electronic device or the video frequency variation exceeds a specific variation, where the specific variation may be determined according to a performance parameter variation of the electronic device, and the content of the first condition is not limited in this application.
Step A3, monitoring performance change information of the electronic equipment;
in practical applications, the performance of the electronic device often indicates the degree of adaptation of the hardware configuration of the electronic device to the application of the electronic device, where the hardware configuration may include the performance of a processor CPU, the size of a memory capacity, the performance of a graphics card, the size of a hard disk storage space, and other accessory performances. Therefore, the present application may directly detect the change condition of each performance parameter, the change condition of the comprehensive performance, and/or the change condition of each hardware component of the electronic device, so as to obtain the performance change information of the electronic device, and the present application does not detail the specific implementation process of step a 3.
The performance of the CPU and the performance of the graphics card of the processor may be affected by the environmental temperature of the electronic device, the working conditions of other accessories, and other factors, which may cause the performance of the hardware configurations to change; in addition, the storage space of the storage device, such as the memory capacity and the disk storage space, may also be changed as the usage time of the electronic device by the user increases, and operations such as installing/uninstalling applications may also be changed. However, these changes may affect the performance parameters of the electronic device, and further affect the experience of the user using the electronic device, so the performance change information of the electronic device to be monitored in this embodiment may include: the information includes memory capacity change information (such as memory remaining capacity, memory usage capacity, etc.), disk storage space change information (such as disk remaining space, disk usage space, etc.), changes of CPU operating parameters (i.e., parameters affecting the performance of the CPU), changes of graphics card operating parameters, and the like.
In addition, parameters such as the operating speed, the command response speed, the data processing speed and the like of the electronic equipment can reflect the performance of the whole electronic equipment or corresponding accessories. Therefore, the performance change information of the electronic device monitored by the embodiment may include change information of parameters such as an operating speed, an instruction response speed, a data processing speed, and the like of the electronic device, and the content of the performance change information of the electronic device is not limited in the present application.
Step A4, verifying whether the performance variation information meets the second condition, if yes, entering step A5; if not, returning to the step A1 to continue monitoring;
similar to the content analysis process of the first condition, the second condition may also be content indicating performance degradation of the electronic device, and specific content of the second condition may be determined according to content of the monitored performance change information, for example, the video card has a low operating frequency (the operating frequency is lower than the operating frequency required by some application, etc.), the CPU has an excessively high operating temperature (the current operating temperature exceeds a specific temperature), the remaining memory capacity is excessively low (the remaining capacity is less than a specific capacity), and the like, and after analyzing the monitored performance change information, it is determined that the performance change information of at least one accessory meets the second condition, and the performance change information of the electronic device can be considered to meet the second condition, and step a5 can be entered; conversely, monitoring of the electronic device may continue with the information enumerated above.
It should be noted that, the application use change information and the performance change information of the electronic device, which are provided in the embodiment of the present application, are monitored in sequence, and the computer device verifies whether the monitoring sequence meets the corresponding condition, which is not limited in the present application, that is, the above step sequence of the embodiment does not form a pair, and the monitoring sequence of the application use change information and the performance change information of the electronic device can be flexibly adjusted according to the actual need.
Based on the above inventive concept, if other configuration information of the electronic device needs to be changed, the detection and verification can be performed according to the above monitoring manner for the application use information and the performance change information, which is not described in detail herein.
Step a5, a configuration detection request for an electronic device is generated.
The configuration detection request may include identification information of the electronic device, so that the computer device can perform configuration recommendation processing on the electronic device according to the identification information and the method described in this embodiment. As can be seen, the identification information may be a unique identifier of the electronic device, and the specific content included in the identification information is not limited in this embodiment.
In some embodiments, the application usage change information or the performance change information of the electronic device may be monitored only, so that the configuration detection request for the electronic device is generated when the application usage change information meets the first condition or the performance change information meets the second condition.
In this embodiment, the obtained current configuration information of the electronic device may include hardware configuration information that the electronic device currently has and supports running of each application, such as information of a CPU model and performance of a processor, information of a memory capacity, a graphics card model and performance, hard disk storage space and performance information of other accessories, and the like.
It should be understood that configuration information of electronic devices of the same model when an electronic device manufacturer leaves a factory is often the same, and according to usage requirements of different users, configuration of the electronic devices may also be flexibly adjusted, resulting in a difference in configuration information of the electronic devices of the same model, so that, in order to ensure reliability and accuracy of the acquired configuration information of the electronic devices, the electronic devices themselves or the computer device may directly detect the electronic devices to obtain current configuration information of the electronic devices.
The current configuration information of the electronic device and the usage information of each application may be carried in a configuration detection request, and obtained by analyzing the configuration detection request, or may be obtained by querying, when the configuration detection request for the electronic device is responded by the computer device after the electronic device uploads the configuration detection request to the computer device in real time or periodically, the current configuration information of the electronic device and the usage information of each application from information respectively corresponding to the plurality of electronic devices.
The usage information of each application in the electronic device may be changed according to the requirements of the user in terms of usage habits, preferences, occupation, and the like, so that the usage information of each application is different for the electronic devices of different users, and the usage information of each application may also be changed for the electronic devices of the same user over time.
Step S12, analyzing the current configuration information by using the use information of each application to obtain the target configuration information of the electronic equipment;
in the above analysis, the configuration information that the present embodiment wants to recommend to the electronic device is determined according to the use condition of the user for each application, so that the electronic device with the recommended configuration information can ensure that the electronic device is at a higher performance during the use of the application by the user at the current stage, and the application use experience of the user is improved.
Because different applications in the electronic equipment have different requirements on various performance parameters of the electronic equipment, namely the requirements on the parameters of various accessories are different, such as picture and video processing applications, the requirements on the performance of a display card of the electronic equipment are relatively high; for applications such as games, the performance requirements of the processor CPU, the memory capacity, and the display card of the electronic device are high, and the electronic device configured conventionally may not meet the requirements of the specific applications, that is, the specific applications may run slowly and slowly when running in the electronic device configured conventionally.
Therefore, in order to satisfy the usage requirements of the current user for a specific application (which may be referred to as a target application in the present application, and may be determined based on the current usage information of each application of the electronic device, such as an application that is used by the current user on the electronic device frequently and has a long usage time in the current stage, and improve the usage experience of the user for the target application, the present embodiment may obtain the usage conditions of each application on the electronic device according to the usage information of each application that the user currently has on the electronic device, such as which applications are used frequently, which applications are used rarely, which applications need to be used for a long time, and so on, so as to analyze the current configuration information of the electronic device according to the usage conditions, such as analyzing which accessories can satisfy the requirements in terms of performance, which accessories cannot satisfy the requirements, and so on the basis of obtaining the target configuration information of the electronic device, i.e. hardware configuration information that can improve the performance of the electronic device to run the target application.
Step S13, generating recommendation information for the current configuration information of the electronic device according to the target configuration information.
Since the target configuration information is hardware configuration information capable of improving performance of the electronic device for running the target application, in order to remind and inform a configuration level of current configuration information of the electronic device and what configuration information is required for improving performance of the electronic device currently used by a user, the present embodiment may generate recommendation information including the target configuration information for the current configuration information of the electronic device.
In some embodiments, after obtaining the recommendation information, the computer device may feed back the recommendation information to the electronic device, and specifically, may send the obtained recommendation information to a corresponding electronic device for output according to the identification information of the electronic device included in the configuration detection request, so as to be referred by a user of the electronic device.
In summary, after the computer device responds to the configuration detection request for a certain electronic device, the current configuration information of the electronic device and the use information of each application can be obtained, and since the use information of each application can reflect the use condition of the user for each application, the computer device analyzes the current configuration information of the electronic device by using the use information of each application to obtain the target configuration information of the electronic device, not only the hardware configuration of the electronic device itself is considered, but also the use condition of the user (i.e. the user) of the electronic device for each application is specifically considered, so that the recommendation information generated according to the target configuration information can accurately and efficiently guide the user to adjust the current configuration of the electronic device, and the use requirement of the user for a specific application in the electronic device can be met.
Referring to fig. 4, which is a schematic flowchart illustrating an optional example of an electronic device configuration recommendation processing method proposed in the present application, the present embodiment may be an optional detailed implementation of the electronic device configuration recommendation processing method described in the foregoing embodiment, but is not limited to the detailed implementation described in the present embodiment, and as shown in fig. 4, the method may include:
step S21, responding to the configuration detection request aiming at the electronic equipment, and obtaining the current configuration information of the electronic equipment and the use information of each application;
for a specific implementation process of step S21, reference may be made to the description of the corresponding parts in the foregoing embodiments, and details are not repeated.
Step S22, sorting the user adhesion degree of each application by using the use information of each application;
as described above, in practical applications of the electronic device used by the user, for a plurality of applications that can be run by the electronic device, a desired application is usually selected from the applications to run according to occupation, personal preference/habit, and the like, so that users with different occupation, different preference/habit, and the like use the electronic device with the same configuration, and the obtained use information of each application is different.
For example, the following steps are carried out: users engaged in drawing work often install various drawing applications in their electronic devices, and the usage duration and usage frequency of the drawing applications used by the users are often large compared with other types of applications; users who like to play games usually install various game applications on their electronic devices, and the usage duration and the usage frequency of the game applications are often large compared with other types of applications; users who like to watch videos may install various applications capable of watching videos on their electronic devices, and the usage information such as the usage duration and the usage frequency of these video applications may be relatively large.
Therefore, in order to implement personalized recommendation of electronic device configuration and improve the use experience of a user on electronic device applications, the application can obtain the use information of each application, which can indicate information such as occupation, application use habit/preference and the like of the user, according to the above manner, so that the user adhesion degrees of the corresponding multiple applications are sorted according to the use information of each application. The user's adhesiveness may be to make the user feel dependent on an object, and the user may wish to use the object better without the object disappearing.
In this regard, in the present application, the user adhesion degree may represent a preference or a degree of dependence of a user on a corresponding application in the electronic device, and in general, if the user adhesion degree of a certain application is higher, it may be considered that the preference or the degree of dependence of the user on the application is higher. As in the above example, for a user engaged in the drawing profession, the user adhesion of the drawing application on the electronic device may be higher than that of other types of applications; for users who prefer games, the user affinity of the gaming application on their electronic device may be higher than the affinity of users of audio applications (or other types of applications).
Step S23, acquiring performance parameters of the electronic equipment;
following the above analysis, in order to improve the experience of the user using the electronic device, so that the electronic device can meet the user's preference and dependence on the application, the use requirements and feelings of the applications frequently and/or for a long time can be sorted according to the user adhesion degree of each application in the electronic equipment, that is, it is determined that the electronic device meets the priority level of the application running for the performance parameter requirement, so that the recommendation information of the current configuration information sent to the electronic device can meet the requirement of the application with higher priority (or highest) for the performance parameter of the electronic device, so that the electronic device has higher performance when running the application with higher priority (or highest), for the application with lower priority, the basic requirement of normal operation can be ensured, and the electronic equipment is not required to be operated in a high-performance state.
Based on the above inventive concept, the embodiment may first acquire the current performance parameters of the electronic device to determine the performance of the electronic device in various aspects such as operation, image processing, caching, data reading and writing, and storage, and the specific acquisition method of the performance parameters is not limited.
In some embodiments, the performance parameters of the electronic device may be obtained by the electronic device through performance detection directly and then sent to the computer device, or the performance parameters of the electronic device may be obtained by the computer device through remote detection.
It should be understood that the execution sequence of step S23 is not limited to the sequence of steps described in this embodiment, and may be executed after obtaining the current configuration information of the electronic device, for example, the step S23 is executed before executing step S22, and of course, step S22 and step S23 in this embodiment may also be executed simultaneously, which is not limited in this application.
Step S24, obtaining target configuration information of the electronic equipment by using the obtained sequencing result and the performance parameter;
it should be understood that, in a case that the electronic device has a plurality of applications, the hardware configuration of the electronic device generally cannot meet the requirements of each application on the performance parameters of the electronic device, so that the embodiment may preferentially select one or more applications that meet the highest user adhesion degree, that is, the electronic device can run the one or more applications in a high performance state, so that the user obtains a good application use experience.
Based on this, in this embodiment, after the multiple applications are sorted according to the user adhesion degrees of the multiple applications in the electronic device, the application with the higher user adhesion degree (for example, according to the order from the small user adhesion degrees, n applications are sorted first, and the specific value of n is not limited) or the application with the highest user adhesion degree may be selected, and in combination with the requirements of the applications on the performance parameters of the electronic device, which one or more performance parameters the electronic device currently has is detected, and the requirements of the application on the corresponding performance parameters are not met, so as to obtain target configuration information capable of improving the one or more performance parameters, where the target configuration information at least includes electronic device hardware configuration attribute information capable of improving the one or more performance parameters.
The specific implementation process of how to analyze and obtain the target configuration information by using the user adhesion ranking results of the multiple applications of the electronic device and the currently-owned performance parameters of the electronic device is not limited in this application.
In some embodiments, the computer device may obtain, in advance, requirements of different applications on various performance parameters of the electronic device, and a specific obtaining method is not limited, for example, the requirements may be obtained by using an Artificial Intelligence (AI) technology, or the performance of the application run by the electronic device may be detected and obtained by adjusting a configuration of the electronic device, the performance parameters of the electronic device, and the like.
The artificial intelligence is a comprehensive technology of computer science, which attempts to understand the essence of intelligence and produce a new intelligent machine which can react in a manner similar to human intelligence. The machine learning/deep learning algorithm can comprise an artificial neural network, a belief network, reinforcement learning, transfer learning, induction learning, formula teaching learning and the like, one or more machine learning/deep learning algorithms are selected according to actual conditions, the requirements of different applications on performance parameters of the electronic equipment are obtained, target configuration information meeting the performance parameter requirements is further obtained, and the specific implementation process is not described in detail.
In the practical application of some embodiments, as described in the foregoing analysis, the computer device may implement configuration recommendation processing for a plurality of electronic devices, and these electronic devices may upload the configuration information and the usage information of each application to the computer device in the foregoing manner, so that the computer device can obtain electronic devices with various configurations, and perform analysis processing by using the machine learning/deep learning algorithm according to performance parameters when the electronic devices have different application usage information, so as to obtain requirements of each application on each performance parameter of the electronic device when the application is in a higher performance state, such as an occupation ratio of computing capability of the electronic device, an occupation ratio of image processing capability, an occupation ratio of cache capability, an occupation ratio of data read-write capability, an occupation ratio of storage capability, and the like when the application a is in a higher performance state, and then obtain each application and its requirements on each performance parameter of the electronic device, and generating an application configuration table for calling reference in a subsequent actual application process.
Because the performance of the hardware of the electronic device with different configuration attribute information and the performance parameters that can be obtained by the electronic device are known, after the requirements of each application on each performance parameter of the electronic device when running in a higher performance state are obtained, the configuration information that enables the electronic device to have the best and/or better performance parameters for each application can be further obtained, that is, what configuration attribute information the hardware of the electronic device has can meet the performance parameter requirements. For example, after determining a requirement of a certain video processing application for the image processing capability of the electronic device, according to the requirement, it may be analyzed to obtain that the configuration of the graphics card of the electronic device at least reaches certain configuration attribute information (for example, the operating frequency of the graphics card at least reaches a first threshold, the operating voltage at least reaches a second threshold, and the like, and specific values of the first threshold and the second threshold are not limited in this application).
In this case, the obtained hardware configuration information may be added to the application configuration applied in the application configuration table, so that after the performance parameter of the currently detected electronic device and the application with a higher or highest user adhesion degree are obtained in the manner described above, the obtained performance parameter and the application with the higher or highest user adhesion degree may be compared with corresponding application corresponding information in the application configuration table obtained in advance to determine whether the performance parameter of the electronic device meets the requirement of the application with the higher or highest user adhesion degree, and if not, the target configuration information of the electronic device may be obtained by using the configuration information corresponding to the application, such as configuration attribute information that the corresponding hardware of the electronic device should have when the performance parameter of the electronic device can meet the application requirement.
In a possible implementation manner, the computer device may further use the obtained application use information of each application of the different electronic devices and the obtained configuration information of the electronic device as sample data, train the sample data based on a machine learning algorithm or a deep learning algorithm, and obtain a configuration prediction model for predicting that a performance parameter, which enables the electronic device to run any application, meets a requirement, where the configuration information should be possessed by the electronic device. In this way, after the computer device obtains the current configuration information of the currently detected electronic device and the use information of each application, the computer device can directly input the current configuration information and the use information into the configuration prediction model to obtain the target configuration information of the electronic device. The present application does not limit the specific implementation manner of the step S24, and is not limited to the implementation method described above.
Step S25, comparing the target configuration information with the current configuration information;
step S26, obtaining the current configuration score of the electronic equipment according to the comparison result;
step S27, verifying whether the current configuration score is less than the threshold value, if yes, entering step S28; if not, returning to the step S21;
and step S28, obtaining configuration optimization information of the electronic equipment according to the comparison result.
In combination with the above analysis, the configuration optimization information can be used at least to improve the performance of the electronic device in one or more combinations of operation, image processing, caching, data reading and writing, and storage.
In combination with the analysis of the target configuration information, if the electronic device has the target configuration information, during the period when the electronic device runs the application with higher user adhesion, the performance parameters of the obtained electronic device can often meet the requirements of the application, so that the embodiment takes the target configuration information as a standard for verifying whether the current configuration information of the electronic device is appropriate, scores the current configuration level of the electronic device by directly comparing the target configuration information with the current configuration information and using the difference value between the current configuration attribute information of the electronic device hardware and the corresponding target configuration attribute information, and if the current configuration attribute information is lower or worse than the corresponding target configuration attribute information, the obtained current configuration score of the electronic device is smaller, which indicates that the current configuration level of the electronic device is worse; conversely, the larger the obtained current configuration score of the electronic device is, the better the current configuration level of the electronic device is. Then, the present embodiment may obtain the configuration optimization information of the electronic device by using the target configuration attribute information of the hardware whose current configuration score is smaller than the threshold.
It should be noted that, in some embodiments, if, in the process of determining the target configuration information of the electronic device, the current configuration information of the electronic device is already analyzed, and it is determined that the current configuration information of the electronic device needs to be optimized, then the target configuration information of the current stage of the electronic device is determined, in this case, the target configuration information may be directly utilized to generate the configuration optimization information of the electronic device, and it is not necessary to obtain the configuration score.
It can be seen that, for the above specific implementation process of generating the recommendation information for the current configuration information of the electronic device according to the target configuration information, the implementation method described in the above steps S25 to S28 in this embodiment is not limited, and the application does not limit the specific implementation method of the implementation process.
To sum up, in order to implement personalized configuration recommendation for different users of an electronic device and meet the usage requirements of corresponding users for applications with high user adhesion, the present embodiment uses the usage information of each application of the current electronic device to rank the user adhesion of each application, so as to use the ranking result and the current performance parameters of the electronic device to analyze and obtain the target configuration information that the electronic device should have to meet the requirements of the applications with high user adhesion for the performance parameters, and then compare the target configuration information with the current configuration information of the electronic device, if the obtained current configuration score of the electronic device is smaller than a threshold, it is indicated that the current configuration of the electronic device needs to be optimized, and the obtained comparison result may be used to generate configuration optimization information of the electronic device, that is, the information can be used at least to improve the operation of the electronic device, Information on performance of one or more combinations of image processing, caching, data reading and writing, and storage.
Therefore, the user adhesion and the performance parameters of each current application of the electronic equipment which are comprehensively considered by the target configuration information are determined, so that the configuration optimization information obtained according to the method considers the current performance of the electronic equipment and also considers the use condition of each application of the electronic equipment by the user, and the targeted configuration optimization recommendation is realized, thereby ensuring that the performance of the electronic equipment which is configured and optimized according to the configuration optimization information is improved and simultaneously improving the use experience of the user on the specific application.
The specific implementation process of the electronic device configuration recommendation processing method provided in the present application will be described below from the perspective of the electronic device, and it should be understood that, since the implementation process may correspond to the electronic device configuration recommendation processing method described above from the perspective of the computer device, for specific steps in the electronic device configuration recommendation processing method implemented by the computer device, reference may be made to the description of corresponding parts in the above embodiments, and details are not repeated.
Referring to fig. 5, a flowchart of another optional example of the method for recommending configuration of an electronic device provided in the present application is schematically illustrated, where the method may be applied to an electronic device, but a product type of the electronic device is not limited, and in this embodiment, a computer device is an example of a server, and details of implementation processes of other types of computer devices are not described in detail in this application. As shown in fig. 5, the method may include:
step S31, sending the current configuration information of the electronic equipment and the use information of each application to the server;
with reference to the description of the corresponding part of the foregoing embodiment, the current configuration information may include hardware configuration information that the electronic device currently has and supports running of each application, such as configuration attribute information of each hardware in the electronic device; in some embodiments, the current configuration information may also include software configuration information of at least one application according to actual requirements, and the specific content of the current configuration information is not limited in this application.
Regarding the configuration information of the electronic device and the usage information of each application, reference may be made to the description of the corresponding part of the above embodiments, and the obtaining process of the embodiment is not described in detail.
Step S32, receiving recommendation information for the current configuration information fed back by the server;
the recommendation information may be generated by the server according to target configuration information, the target configuration information may be obtained by using the usage information of each application and current configuration information, and the target configuration information may be hardware configuration information capable of improving performance of the electronic device for running a target application, and the target application is determined based on the usage information of each application.
How the server obtains the implementation process of the recommendation information for the current configuration information by using the usage information and the current configuration information of each application of the electronic device may refer to the description of the corresponding part of the above method embodiment described from the perspective of the computer device, which is not described in detail in this embodiment.
In step S33, recommendation information is output.
In this embodiment, the content of the recommendation information and the output mode thereof are not limited, for example, a window is directly popped up to display the content of the recommendation information, a recommendation information display instruction is responded, and a display window is output to display the content of the recommendation information. After the user knows the recommended information for the current configuration information of the electronic equipment, the user can select whether to update the current configuration of the electronic equipment according to actual needs.
In summary, in this embodiment, if the electronic device needs to update its current configuration, the current configuration information and the usage information of each application that the electronic device currently has may be directly sent to the computer device, and the computer device may accordingly obtain personalized recommendation information for the current configuration information of the electronic device, where the personalized recommendation information includes hardware configuration information that can improve performance of the electronic device for running a target application, and feeds the hardware configuration information back to the electronic device for output, and a user of the electronic device may know what configuration the electronic device should be updated to be appropriate, and does not need to manually consult a professional technician, thereby improving configuration recommendation efficiency and accuracy, ensuring that the electronic device after being updated can run a specific application in a high-performance state, and improving experience of the user for using the specific application.
In some embodiments, after the user knows the recommendation information for the current configuration information of the electronic device, according to the recommendation information, after adding new hardware in the electronic device or replacing the same kind of original hardware with the new hardware, in order to improve the reliability of the operation of the electronic device, the present application may further detect the current configuration information of the electronic device, and refer to, but not limited to, the implementation method described in the following embodiments. As shown in fig. 6, a flowchart of yet another optional example of the method for processing recommendation for configuring an electronic device, which may be applied to an electronic device, is shown, and this embodiment mainly describes a processing flow after updating the hardware configuration of the electronic device, and reference may be made to the description of the corresponding part of the above embodiment regarding how to obtain the recommendation information of the electronic device.
As shown in fig. 6, the method for recommending configuration of an electronic device according to this embodiment may further include the following steps:
step S41, obtaining the updating configuration information of the electronic equipment;
the updated configuration information may include hardware attribute information of newly added hardware of the electronic device, and if it is known based on the obtained recommendation information that the configuration attribute information of the current graphics card of the electronic device cannot meet the requirement of the drawing application, the updated configuration information is recommended to be a graphics card with certain configuration attribute information, and after the user updates the original graphics card in the electronic device according to the recommendation information, the configuration information of the electronic device will be changed accordingly. In order to ensure the reliability of the configuration and the operation of the electronic device, the electronic device may verify the updated configuration information.
In some embodiments, after the hardware configuration of the electronic device is updated, the electronic device may execute the verification process of updating the configuration information in the first power-on self-test process, but is not limited to the detection time.
In this embodiment, the hardware attribute information of the newly added hardware of the electronic device may be specifically determined according to configuration optimization information obtained by the electronic device, and the configuration optimization information may be included in the recommendation information obtained by the electronic device, and may be at least used to improve performance of the electronic device in one or more combinations of operation, image processing, caching, data reading, writing, and storage.
Step S42, detecting whether the hardware attribute information of the newly added hardware is matched with the hardware attribute information of the original hardware of the same type of the electronic equipment;
in step S43, presentation information corresponding to the detection result is output.
In the process of checking the updated configuration information of the electronic equipment, the newly added hardware can be directly compared with the hardware attribute information of the similar original hardware, and the matching detection between the newly added hardware and other hardware of the electronic equipment is realized by detecting whether the newly added hardware is matched with the original hardware.
For example, if a newly added hard disk is RAID (Redundant Arrays of Independent Disks, disk array), it may be detected whether the capacity of the newly added hard disk is consistent with the capacity of the original hard disk and supports RAID types; if the added display card is used as SLI (Scalable LinkInterface) or cross fire, whether the model of the newly added display card is consistent with the model of the original display card, whether SLI is constructed or cross fire is detected, and the like.
It can be seen that the content of the hardware attribute information to be detected in step S42 can be determined according to the newly added hardware type and the user requirement, and is not limited to the above-listed ones.
The detection result of step S42 may be directly output on the display interface of the electronic device, or may be output after generating corresponding prompt information to notify the user whether the newly added hardware in the electronic device is appropriate, so as to perform intelligent reminding, thereby reducing the problem of product complaints caused by the newly added hardware.
If the detection process is completed in the power-on self-test stage of the electronic device, the prompt information corresponding to the detection result may be Output in a BIOS (Basic Input Output System) update or self-test stage, and the specific implementation manner and execution time of step S43 are not limited in the present application.
In summary, in this embodiment, the electronic device sends the current configuration information and the usage information of each application to the computer device, and the computer device automatically and accurately obtains the recommendation information for the current configuration information, and the electronic device can directly update the hardware configuration of the electronic device according to the recommendation information without manually consulting a professional, and after updating the hardware, this embodiment further detects whether the hardware attribute information of the newly added hardware matches with the hardware attribute information of the original hardware of the same type, and informs the user of the detection result, so as to reduce the number of complaints of the user on the quality problem of the newly added hardware due to the mismatch between the hardware attribute information of the newly added hardware and the hardware attribute information of the original hardware of the same type, and ensure reliable operation of the electronic device after updating the hardware configuration.
It should be noted that in some specific implementations of the present application, the electronic device and the computer device may be the same device.
With reference to the foregoing electronic device configuration recommendation processing methods described from different perspectives of the electronic device and the computer device, a scenario in which the electronic device is a computer and the computer device is a server will be taken as an example to describe the electronic device configuration recommendation processing method, as shown in fig. 7, an optional scenario flow diagram of the electronic device configuration recommendation processing method provided in the embodiment of the present application is shown, and the method may include:
step S51, detecting application use change information by the computer;
step S52, the computer determines that the user adhesion degree of the first application is improved to a specific threshold value based on the application use change information, and generates a configuration detection request aiming at the computer;
the manner of generating the configuration detection request is not limited to the manner described in this embodiment, and reference may be made to the description of the corresponding part of the above embodiment, and in this implementation, the configuration detection request may include identification information of the computer, current configuration information, and use information of each application.
Step S53, the computer sends the configuration detection request to the server;
step S54, the server analyzes the configuration detection request to obtain the current configuration information of the computer and the use information of each application;
step S55, the server determines a specific number of second applications with higher user adhesion degree by using the use information of each application in the computer;
regarding the acquisition process of the second application, reference may be made to the description of the corresponding parts of the above embodiments, and the present embodiment does not limit the specific number, and may be one or more.
Step S56, the server obtains the current performance parameters of the computer;
step S57, the server inquires the pre-stored target performance parameters of the second application;
step S58, the server determines that the current performance parameter does not conform to the target performance parameter, and obtains the target configuration information corresponding to the target performance parameter;
the target configuration information is obtained by querying a pre-stored application configuration table described in this embodiment, and a specific implementation process may refer to the description of the corresponding part in the above embodiment, and of course, the generation manner of the target configuration information is not limited to the implementation manner described in this embodiment.
Step S59, the server generates the recommendation information aiming at the current configuration information of the computer according to the target configuration information;
step S510, the server feeds the recommendation information back to the computer;
step S511, the computer outputs the recommendation information;
step S512, the computer acquires the hardware attribute information of the newly added hardware;
step S513, the computer detects that the newly added hardware is not matched with the hardware attribute information of the original similar hardware, and outputs a prompt message of hardware mismatch.
With regard to the detection process of the newly added hardware by the computer, reference may be made to the description of the corresponding parts of the above embodiments.
Therefore, the computer used by the user can send the recorded application use information and the current configuration information to the server at any time, the server detects whether the current configuration of the computer needs to be updated and updates the configuration of the reason, namely, target configuration information aiming at the current configuration information of the computer is generated, corresponding recommendation information is generated and fed back to the computer for output, the user can realize hardware updating of the electronic equipment by reference, and does not need to wait for inquiry analysis of professional technicians, so that the working efficiency and the accuracy of recommendation processing of the computer configuration are improved.
And after the user completes the hardware updating of the computer, the computer can automatically perform matching detection on the hardware attribute information of the newly-added hardware and the original hardware of the same type, so that the user can be reminded in time when the hardware is not matched, the new hardware is updated, the configuration updating reliability of the electronic equipment is ensured, the complaint of the newly-added hardware is avoided under the condition that the user does not know that the operation of the computer is abnormal because the hardware attribute information of the newly-added hardware is not matched with the hardware attribute information of the original hardware of the same type, and the product complaint quantity of the user to hardware merchants is reduced.
Referring to fig. 8, a block diagram of an alternative example of an electronic device configuration recommendation processing apparatus proposed in the present application is shown, where the apparatus may be applied to a computer device, such as a server, and as shown in fig. 8, the apparatus may include:
a configuration detection request response module 11, configured to respond to a configuration detection request for the electronic device, to obtain current configuration information of the electronic device and usage information of each application in the electronic device;
the current configuration information may include hardware configuration information that the electronic device currently has and supports running of each application;
a target configuration information obtaining module 12, configured to analyze the current configuration information by using the usage information of each application, to obtain target configuration information of the electronic device;
the target configuration information may refer to hardware configuration information capable of improving performance of the electronic device for running a target application, and the target application is determined based on usage information of each application.
In some embodiments, as shown in fig. 9, the target configuration information obtaining module 12 may include:
an application sorting unit 121, configured to sort the user adhesion degrees of the applications by using the usage information of the applications;
the performance parameter obtaining unit 122 is configured to analyze the current configuration information to obtain a performance parameter of the electronic device, where the performance parameter may represent a performance level of one or more combinations of the electronic device in operations, image processing, caching, data reading and writing, and storage;
and a target configuration information obtaining unit 123, configured to obtain target configuration information of the electronic device by using the obtained sorting result and the performance parameter.
And a recommendation information generating module 13, configured to generate recommendation information for the current configuration information of the electronic device according to the target configuration information.
In some embodiments, the recommendation information generating module 13 may include:
the comparison unit is used for comparing the target configuration information with the current configuration information;
the configuration scoring unit is used for obtaining the current configuration score of the electronic equipment according to the comparison result;
the configuration optimization information obtaining unit is used for obtaining configuration optimization information of the electronic equipment according to the comparison result under the condition that the current configuration score is smaller than the threshold value;
the configuration optimization information can be at least used for improving the performance of the electronic equipment in one or more combinations of operation, image processing, caching, data reading and writing and storage.
In some embodiments, as shown in fig. 10, the apparatus may further include:
an information monitoring module 14, configured to monitor application usage change information and/or performance change information of the electronic device;
and a configuration detection request generating module 15, configured to generate a configuration detection request for the electronic device when the application usage change information meets the first condition or the performance change information meets the second condition.
The structure of the electronic device configuration recommendation processing apparatus proposed in the present application will be described below from the perspective of an electronic device, and as shown in fig. 11, a structure diagram of yet another alternative example of the electronic device configuration recommendation processing apparatus proposed in the present application may be applied to an electronic device, and as shown in fig. 11, the apparatus may include:
the information sending module 21 is configured to send current configuration information of the electronic device and use information of each application to the server, where the current configuration information includes hardware configuration information that the electronic device currently has and supports operation of each application;
a recommendation information receiving module 22, configured to receive recommendation information for the current configuration information fed back by the server;
the recommendation information can be generated by the server according to target configuration information, the target configuration information is obtained by using the use information of each application and the current configuration information, the target configuration information refers to hardware configuration information capable of improving the performance of the electronic equipment for running the target application, and the target application is determined based on the use information of each application;
and a recommendation information output module 23, configured to output recommendation information.
In some embodiments, as shown in fig. 12, the apparatus may further include:
an update configuration information obtaining module 24, configured to obtain update configuration information of the electronic device, where the update configuration information includes hardware attribute information of newly added hardware of the electronic device;
an update configuration detection module 25, configured to detect whether the hardware attribute information of the newly added hardware matches the hardware attribute information of the original hardware of the same type of the electronic device;
and the prompt module 26 is used for outputting prompt information corresponding to the detection result.
The recommendation information includes configuration optimization information of the electronic device, the hardware attribute information of newly added hardware of the electronic device is determined according to the configuration optimization information, and the configuration optimization information can be at least used for improving the performance of one or more combinations of the electronic device in operation, image processing, caching, data reading and writing and storage.
It should be noted that, various modules, units, and the like in the embodiments of the apparatuses described above from the perspective of the computer device or the perspective of the electronic device may be stored in the memory of the corresponding device as program modules, and the processor of the corresponding device executes the program modules stored in the memory of the corresponding device to implement corresponding functions.
The present application also provides a storage medium on which a computer program can be stored, the computer program being called and loaded by a processor to implement the steps of the electronic device configuration recommendation processing method described in the above embodiments from the perspective of a computer device or from the perspective of an electronic device.
Referring to fig. 13, a schematic diagram of a hardware structure of a computer device proposed in the present application is shown, where the computer device may be a server or the like, and as shown in fig. 13, the computer device may include at least one communication interface 31, at least one memory 32, and at least one processor 33, where:
the at least one communication interface 31, the at least one memory 32 and the at least one processor 33 may implement data interaction with each other through a communication bus, and a detailed communication process is not described in detail.
Communication interface 31 may be an interface of a communication module, such as an interface of a wireless communication module, such as a GSM module, a WIFI module, etc., and may implement data interaction with other devices, and may further include an interface, such as a USB interface, a serial/parallel interface, etc., for implementing data interaction between internal components of a computer device, which may be determined according to a product type of the computer device, and detailed description is not given one by one in this application.
The memory 32 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device or other volatile solid state storage device. The processor 32 may be a Central Processing Unit (CPU), an application-specific integrated circuit (ASIC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic device.
In practical applications of this embodiment, the processor 33 may load and execute the program stored in the memory 32 to implement the steps of the method for processing recommendation of configuration of electronic device according to any optional embodiment described in this application from the perspective of computer devices, and the specific implementation process may refer to the descriptions of the corresponding parts of the above corresponding embodiments.
It should be understood that the computer device shown in fig. 13 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present application.
Referring to fig. 14, a hardware structure diagram of an electronic device, which may be a user terminal and is not limited to a specific product type, according to an embodiment of the present disclosure is shown, and as shown in fig. 14, the electronic device may include a communication interface 41, a memory 42, a processor 43, an input device 44, and an output device 45. The number of the communication interface 41, the memory 42, the processor 43, the input device 44, and the output device 45 may be at least one, the memory 42 and the processor 43 may be connected to each other through a communication bus, and the communication interface 41, the input device 44, and the output device 45 may also be connected to the communication bus, and the specific connection manner of these parts is not limited in the present application.
The communication interface 41 may include interfaces of a wired communication module and a wireless communication module, and implements data interaction between the electronic device and other devices and data interaction between internal components of the electronic device, which may be determined according to a product type of the electronic device, and details of the communication interface are not described in detail herein.
In the present embodiment, the memory 42 may include a high speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device or other volatile solid state storage device. The processor 43 may be a Central Processing Unit (CPU), an application-specific integrated circuit (ASIC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic device.
In one possible implementation, the memory 42 may include a program storage area and a data storage area, and the program storage area may store an operating system, and application programs required for at least one function (e.g., an application interface display function, a video text display function), programs for implementing the electronic device configuration recommendation processing method proposed in the present application, and the like; the data storage area can store data generated in the using process of the electronic equipment, such as use information, configuration information, performance parameters and the like of each application.
In practical applications of this embodiment, the processor 43 may load and execute the program stored in the memory 42 to implement each step of the method for processing recommendation of configuration of electronic device according to any optional embodiment described in this application from the perspective of electronic device, and the specific implementation process may refer to the description of the corresponding part of the corresponding embodiment above.
The input device 44 may include at least one of a touch sensing unit sensing a touch event on the touch display panel, a keyboard, a mouse, a camera, a microphone, and the like, and may be determined according to a product type of the electronic device, a usage habit of a user inputting information using the electronic device, and the like.
The output device 45 may include: at least one of a display, a speaker, a vibration mechanism, a light, and the like, the display may include a display panel, such as a touch display panel, and the like; the vibration mechanism can comprise a motor and an eccentric vibrator, and the motor drives the eccentric vibrator to rotate so as to generate vibration; the brightness and/or color of the lamp can be adjusted, and in a possible implementation manner, different information can be embodied through at least one of the on-off, brightness and color of the lamp, for example, the alarm information is embodied through the red light emitted by the lamp, and the like.
It should be understood that the structure of the electronic device shown in fig. 14 does not constitute a limitation of the electronic device in the embodiment of the present application, and in practical applications, the electronic device may include more or less components than those shown in fig. 14, or some components may be combined, and the present application is not specifically described herein.
The embodiments in the present description are described in a progressive or parallel manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device and the equipment disclosed by the embodiment correspond to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. An electronic device configuration recommendation processing method, the method comprising:
responding a configuration detection request aiming at electronic equipment, and obtaining current configuration information of the electronic equipment and use information of each application in the electronic equipment, wherein the current configuration information comprises hardware configuration information which is currently possessed by the electronic equipment and supports the running of each application;
analyzing the current configuration information by using the use information of each application to obtain target configuration information of the electronic equipment, wherein the target configuration information is hardware configuration information capable of improving the performance of the electronic equipment for running a target application, and the target application is determined based on the use information of each application;
and generating recommendation information aiming at the current configuration information of the electronic equipment according to the target configuration information.
2. The method of claim 1, wherein the analyzing the current configuration information by using the usage information of each application to obtain the target configuration information of the electronic device comprises:
sequencing the user adhesion degrees of the applications by using the use information of the applications;
analyzing the current configuration information to obtain performance parameters of the electronic equipment, wherein the performance parameters can represent the performance of the electronic equipment in one or more combinations of operation, image processing, caching, data reading and writing and storage;
and acquiring target configuration information of the electronic equipment by using the obtained sequencing result and the performance parameter.
3. The method of claim 1, wherein generating recommendation information for current configuration information of the electronic device in accordance with the target configuration information comprises:
comparing the target configuration information with the current configuration information;
obtaining a current configuration score of the electronic equipment according to the comparison result;
and if the current configuration score is smaller than a threshold value, obtaining configuration optimization information of the electronic equipment according to a comparison result, wherein the configuration optimization information can be at least used for improving the performance of the electronic equipment in one or more combinations of operation, image processing, caching, data reading and writing and storage.
4. The method of any of claims 1-3, further comprising:
monitoring application usage change information and/or performance change information of the electronic device;
and if the application use change information meets a first condition or the performance change information meets a second condition, generating a configuration detection request for the electronic equipment.
5. An electronic device configuration recommendation processing method, the method comprising:
sending current configuration information of electronic equipment and use information of each application to a server, wherein the current configuration information comprises hardware configuration information which is currently possessed by the electronic equipment and supports the running of each application;
receiving recommendation information, which is fed back by the server and is specific to the current configuration information, wherein the recommendation information is generated by the server according to target configuration information, the target configuration information is obtained by using the use information of each application and the current configuration information, the target configuration information is hardware configuration information capable of improving the performance of the electronic equipment for running a target application, and the target application is determined based on the use information of each application;
and outputting the recommendation information.
6. The method of claim 5, further comprising:
acquiring update configuration information of the electronic equipment, wherein the update configuration information comprises hardware attribute information of newly-added hardware of the electronic equipment;
detecting whether the hardware attribute information of the newly added hardware is matched with the hardware attribute information of the original hardware of the same type of the electronic equipment;
and outputting prompt information corresponding to the detection result.
7. The method of claim 6, the recommendation information including configuration optimization information for the electronic device;
the hardware attribute information of the newly added hardware of the electronic equipment is determined specifically according to the configuration optimization information, and the configuration optimization information can be at least used for improving the performance of the electronic equipment in one or more combinations of operation, image processing, caching, data reading and writing and storage.
8. An electronic device configuration recommendation processing apparatus, the apparatus comprising:
a configuration detection request response module, configured to respond to a configuration detection request for an electronic device, to obtain current configuration information of the electronic device and usage information of each application in the electronic device, where the current configuration information includes hardware configuration information currently possessed by the electronic device and supporting the operation of each application;
a target configuration information obtaining module, configured to analyze the current configuration information by using the usage information of each application to obtain target configuration information of the electronic device, where the target configuration information is hardware configuration information capable of improving performance of the electronic device for running a target application, and the target application is determined based on the usage information of each application;
and the recommendation information generation module is used for generating recommendation information aiming at the current configuration information of the electronic equipment according to the target configuration information.
9. An electronic device configuration recommendation processing apparatus, the apparatus comprising:
the information sending module is used for sending current configuration information of the electronic equipment and use information of each application to a server, wherein the current configuration information comprises hardware configuration information which is currently possessed by the electronic equipment and supports the running of each application;
a recommendation information receiving module, configured to receive recommendation information for the current configuration information, which is fed back by the server, where the recommendation information is generated by the server according to target configuration information, the target configuration information is obtained by using the usage information of each application and the current configuration information, and the target configuration information is hardware configuration information capable of improving performance of the electronic device for running a target application, and the target application is determined based on the usage information of each application;
and the recommendation information output module is used for outputting the recommendation information.
10. A storage medium having a program stored thereon, the program being executed by a processor to implement the electronic device configuration recommendation processing method according to any one of claims 1 to 4, or to implement the electronic device configuration recommendation processing method according to any one of claims 5 to 7.
CN201911368672.7A 2019-12-26 2019-12-26 Electronic equipment configuration recommendation processing method and device and storage medium Pending CN111142968A (en)

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